Video-Text-to-Text
Transformers
Safetensors
qwen3_vl
image-text-to-text
qwen3-vl
video
motion-analysis
motion-quality-assessment
emnlp-2026-findings
custom-code
Instructions to use JohnZhan/MotionInsight-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JohnZhan/MotionInsight-8B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("JohnZhan/MotionInsight-8B") model = AutoModelForMultimodalLM.from_pretrained("JohnZhan/MotionInsight-8B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Update citation to match project website
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Link paper and citation to arXiv 2609.37030
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Simplify model card to inference and GRPO usage
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Fix header alignment with centered font-independent branding
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Refine header layout and remove internal training identifiers
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Publish EMNLP 2026 Findings model card, branding, and reproducible requirements
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Add files using upload-large-folder tool
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